Article Per Year (5 Year)
p-Index From 2021 - 2026
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All Journal Journal of Holistic Medical Technologies Community Research and Application Journal (CRAJ)
Fadhillah
Universitas Islam Negeri Walisongo Semarang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Environmental Science Neuroscience Social Sciences

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Classification of normal and relaxed conditions based on brain signal activity with Electroencephalography using k-Nearest Neighbor (kNN) Thooriq Nur Ali; Fadhillah
Journal of Holistic Medical Technologies (JHMT) Vol. 1 No. 1 (2024): December
Publisher : Konsorsium Pengetahuan Innoscientia (KOPINNOS)

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Abstract

Research on how to think, patterns that occur when humans act, human conditions observed through brain waves, and various studies related to the human nervous system and coordination are still extensive in scope for development. Electroencephalography (EEG) is an instrument commonly used to develop research related to the mechanism of brain wave activity. Changes in the brain's electrical potential can be exploited by carrying out specific analyses using various signal processing methods, which are grouped into various categories of waves, including delta (0 - 4 Hz), theta (4 - 7 Hz), alpha (8 - 12 Hz) and beta (12 – 30 Hz). This research has succeeded in building a classification model through several stages, namely preprocessing with filtration and data extraction, data processing consisting of clustering using the K-Means algorithm, and classification using the k-Nearest Neighbor (kNN) algorithm to calculate the accuracy value of the model. The classification process produces two categories of conditions: normal and relaxed. The results of testing the classification model using the k-Nearest Neighbor (kNN) produce an accuracy value of 88%.
Implementation of the MQ135 Sensor for Carbon Monoxide Measurement in Air Fadhillah
Journal of Holistic Medical Technologies (JHMT) Vol. 2 No. 1 (2025): December
Publisher : Konsorsium Pengetahuan Innoscientia (KOPINNOS)

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The increase in air pollution caused by industrial activities, transportation, and urbanization has led to a decline in air quality, particularly in urban areas. Carbon monoxide (CO) is one of the hazardous gases that can harm human health. This article discusses the use of the MQ135 sensor to measure CO concentration in the air, which is then monitored in real time through the Blynk application. The MQ135 sensor was calibrated using CO gas samples to ensure accurate readings. The test results showed that the sensor could quickly detect changes in CO concentration, and the Blynk application displayed the data directly in an easy-to-understand graphical form. These tests demonstrated that the developed system works effectively. A stable Wi-Fi connection on the ESP8266 module also ensured uninterrupted data transmission to the application. This implementation highlights the potential for real-time air quality monitoring, which is highly beneficial for managing air pollution and protecting public health.
Empowering Academic Excellence: Pre-National Science Olympiad Training for Elementary and Junior High School Students Istikomah; Sheilla Rully Anggita; Hartono; Fadhillah; Siti Nurfadhillah Murtado
Community Research and Application Journal (CRAJ) Vol. 1 No. 2 (2025): June
Publisher : Konsorsium Pengetahuan Innoscientia (KOPINNOS)

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Abstract

This community service activity aimed to enhance students' academic competency and preparedness for the National Science Olympiad (OSN) 2023 in Mathematics and Natural Sciences at elementary and junior high school levels. The program, organized by the Physics Department of Universitas Islam Negeri Walisongo Semarang in collaboration with the Association of Madrasah Science Enthusiasts (Perkumpulan Pegiat Sains Madrasah), was conducted online via Zoom Meeting. The training covered eight comprehensive sessions including Kinematics and Mechanics, Forces, Rotational Dynamics, Oscillations and Waves, Electricity and Magnetism, Solar System, Optics, and Temperature and Heat, along with two simulation sessions. Despite challenges such as network connectivity issues and varying participant readiness levels, the program successfully provided intensive coaching to OSN participants and their supervising teachers from elementary (SD/MI) and junior high school (SMP/MTs) levels. This initiative demonstrates the importance of systematic academic preparation and highlights the role of higher education institutions in supporting K-12 education excellence through collaborative mentoring programs.
Co-Authors Hartono Istikomah Sheilla Rully Anggita Siti Nurfadhillah Murtado Thooriq Nur Ali